CERTIFIED QUALITY ENGINEER

OVERVIEW

Description

The Certified Quality Engineer is a professional who understands and can effectively apply the principles of product and service quality planning, control and improvement. The scope of knowledge needed for quality engineer certification includes, but not limited to, concept and philosophies of quality, development and operation of a quality management system, quality cost computation and categorization, testing and inspection procedures, the use of statistical methods to diagnose and correct improper quality control practices, auditing quality systems for identification and correction of nonconformities, leadership and motivation approaches, quality information system, and the recent proven initiatives such as Six Sigma, Lean Systems, Benchmarking and many others.

 

This course provides a thorough understanding of a variety of quality tools, systems, procedures, processes, methods and technologies to quality engineers. By completing this body of knowledge, participants should be better able to maintain and improve product quality, diagnose and solve various quality problems for overall improvement of the business performance of their enterprises. Each topic is presented in a practical, easy to follow manner that emphasizes the practical application of the tools covered. At the end of this program, an examination will be held for the participants seeking certification.

Objective

This course aims to equip participants with a complete set of tools and techniques for planning, control and improvement of product and service quality. It covers aspects pertaining to inspection and testing to achieve reliable, maintainable and safe products that meet customer expectations, the development and implementation of an effective quality management system as well as advanced use of quantitative and qualitative data for investigation and analysis of quality problems and quality improvement opportunities.

Who should Attend

Quality engineers, manufacturing and operation engineers, quality improvement professionals, consultants, and other professionals preparing to build their careers in quality management and engineering.

COURSE OUTLINE

Introduction and Basics

  • Dimensions of quality
  • Determinants of quality
  • Quality trilogy: planning, control and improvement
  • Evolution of quality concepts and initiatives
  • Focusing quality on business results
  • Organizational and functional responsibilities toward quality
  • Strategic quality management

Customer Relations

  • Listening to the voice of the customer
  • Linking customer needs and product/service characteristics
  • House of quality (Quality Function deployment-QFD)
  • Standards, specifications and other requirements
  • Surveying customer satisfaction

Supplier Relations

  • Supplier qualification and selection
  • Supplier performance evaluation and improvement
  • Supplier partnership
  • Quality Management Systems (QMS)
    • QMS elements
    • QMS documentation and records
    • QMS standards, requirements and guidelines
    • QMS audits

    Costs of Quality

    • Categories of quality costs
    • Gathering, reporting and interpreting quality costs
    • Analyzing and optimizing quality costs

    Product and Process Design

    • Design inputs
    • Design review
    • Design verification and validation
    • Design outputs
    • Product reliability

    Product and Process Control

    • Process characterization
    • Standards and specifications
    • Scope of control (incoming, in-process, and final products)
    • Identification and traceability
    • Classification and segregation
    • Disposition of items

    Sampling Inspection and Testing

    • Sampling concepts (OC curves, AQL, AOQL)
    • Sampling standards and plans for attribute characteristics
    • Sampling standards and plans for variable characteristics

    Measurement System Analysis

    • Gage repeatability and reproducibility
    • Gage capability
    • SBias
    • Linearity

    Data Collection and Summarization

    • Data types
    • Data collection methods and plans
    • Statistical terminology
    • Descriptive statistics (centralization and dispersion)
    • Graphical data demonstration

    Probability distributions

    • Probability concepts and terms
    • Discrete distributions
    • Continuous distributions

    Statistical Process Control

    • Concepts of variation and statistical control
    • Selection of product/service characteristics
    • Control charts for variables
    • Control charts for attributes
    • Analysis of control charts

    Process capability

    • Stability and capability
    • Process performance vs. specifications
    • Short-term and long-term variation
    • Potential capability studies
    • Performance capability studies

    Six Sigma

    • Concept of Six Sigma
    • Six Sigma as a metric
    • Six Sigma infrastructure
    • Six Sigma projects
    • DMAIC Six Sigma project management roadmap

    Continuous Improvement

    • The business drivers
    • Internal customer-supplier relationships
    • Plan-Do-Check-Act (PCDA) cycle
    • Problem solving tools
    • Quality planning tools
    • Circles and teams
    • Japanese initiatives
    • Barriers to quality improvement

    Advanced Initiatives and Models

    • Total quality management (TQM)
    • Excellence models
    • Quality awards
    • Performance benchmarking/li>
    • Lean enterprises

    Certification Exam
    A certification exam should be held at the end of this program for participants seeking professional certification. The exam is designed to cover the body of knowledge specified in the program topics. The multiple-choice questions in this exam are formulated to test the following capabilities:

    • Recognizing and understanding the terms, methods, principles, procedures, techniques, formulas and theories comprising the body of knowledge
    • Analyzing and evaluating quality-related matters with varying levels of complexity by gathering and processing appropriate information, decomposing complex issues into their constituents and assessing impacts, relationships and interactions
    • Deciding and applying ideas, procedures and techniques by making quantitative and qualitative judgments and comparisons versus proven criteria and standards